Lane Keeping Activation Using Collision Risk and Driver Intent
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Solution Overview
Problem
Current lane keeping assist systems lack intelligence in activation occasions, failing to consider complex driving scenarios and interactions with surrounding environments, leading to inadequate safety and comfort in emergency situations.
Innovation Solution
A lane keeping method that determines activation based on collision risk with surrounding obstacles, using prediction models and driver intent to intelligently manage lane keeping functions, reducing incorrect activations and enhancing safety in complex environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lane keeping function is activated based on simple lane position detection, then the system responds quickly to lane departure, but the system activates inappropriately in complex scenarios causing safety issues
Solution Approach 1:
The system performs preliminary detection of surrounding obstacles and predicts potential collision risks before the lane keeping function is activated. By assessing the environment in advance and predicting future collision possibilities, the system ensures that lane keeping activation only occurs when safe, preventing inappropriate interventions while maintaining simple activation logic.
2Reliability
If lane keeping function considers complex environment interactions, then the safety assurance is improved, but the computational resources and system complexity increase
Solution Approach 1:
The system segments the environment assessment into distinct functional modules: obstacle detection, collision risk prediction, and lane keeping decision-making. Each module processes specific information independently, allowing the system to consider complex environmental factors without requiring all components to operate at full complexity simultaneously, thus optimizing computational resource usage.
Solution Approach 2:
The system performs partial environment assessment by focusing computation only on relevant obstacles and scenarios where lane keeping activation is being considered. Rather than continuously analyzing all environmental factors at full depth, the system applies comprehensive analysis selectively, reducing overall computational burden while maintaining safety assurance when needed.
3Productivity
If lane keeping function is activated without collision risk assessment, then the system operates with low computational overhead, but inappropriate activation occurs leading to safety issues
Solution Approach 1:
The system performs preliminary collision risk assessment before activating lane keeping function. By evaluating potential collision risks in advance based on detected obstacles and predicted vehicle trajectories, the system ensures that activation decisions are made efficiently with adequate safety verification, preventing both inappropriate activation and missed safety interventions.
Data Source
AI summary
A method includes: obtaining a risk of collision between a vehicle and a surrounding obstacle; and when determining that there is a lane departure intent, determining, based on the collision risk, whether to activate a lane keeping function of the vehicle.